Canessa, E. | Search bioRxiv

bioRxiv2022

GenomeBits Characterization of MPXV

Genome sequences of monkeypox virus (MPVX) causing the current outbreak are being reported from an increasing number of countries. We present a letter-to-numerical sequence study via GenomeBits signal mapping in order to characterize the evolution of the MPXV via simple statistical analysis. Histograms, empirical and theoretical cumulative distribution curves and the resulting scatter plots for the base nucleotides A and C, and their complementary base nucleotides T and G, are discussed. GenomeBits may help on the surveillance of emergent infectious diseases.

genomics↗

bioRxiv2022

GenomeBits insight into omicron and delta variants of coronavirus pathogen

We apply the new GenomeBits method to uncover underlying genomic features of omicron and delta coronavirus variants. This is a statistical algorithm whose salient feature is to map the nucleotide bases into a finite alternating ({+/-}) sum series of distributed terms of binary (0,1) indicators. We show how by this method, distinctive signals can be uncovered out of the intrinsic data organization of amino acid progressions along their base positions. Results reveal a sort of ordered (or constant) to disordered (or peaked) transition around the coronavirus S-spike protein region. Together with our previous results for past variants of coronavirus: Alpha, Beta, Gamma, Epsilon and Eta, we conclude that the mapping into GenomeBits strands of omicron and delta variants can help to characterize mutant pathogens.

bioinformatics↗